Text Generation
fastText
Tok Pisin
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_west_anglofrisian
Instructions to use wikilangs/tpi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tpi with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tpi", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/tpi: direct link, hf CLI and curl.
- Browser
- Download file 280 kB
-
https://huggingface.co/wikilangs/tpi/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/tpi/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/tpi/resolve/main/visualizations/embedding_tsne_multilingual.png
280 kB

- Xet hash:
- cded3bc853bb7b3c28af477ac9f8089743e167dcafee17943d9d667beb7f08a8
- Size of remote file:
- 280 kB
- SHA256:
- 359212e5737b1585cd41e02bb4d9b1e39186d06c37508e5bf700f4428ed805d9
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